TWI601086B - Method of planning using order of services - Google Patents

Description

Planning method for service usage order

The present invention relates to planning methods, and in particular to planning methods for the order in which services are used.

Amusement parks are preferred for travel destinations because they offer multiple services (such as rides, restaurants, movies, and shopping) in a single area. However, in real life, popular amusement parks tend to be popular during popular periods (such as during holidays). Long queues, which make it takes a lot of time for visitors to queue up to use the service.

In addition, because tourists can't know the current queue time of each service, they can't give priority to the service with the shortest queue time, which makes visitors only blindly queue up and increase the queue time.

The main object of the present invention is to provide a planning method for the service usage sequence, which can automatically plan the order of use of the plurality of services with the smallest total waste time value.

To achieve the foregoing objective, the present invention provides a planning method for service usage order for determining a suggested use order of a plurality of services of a region, the service using a sequential planning method for a mobile device, comprising: a) obtaining one Scheduling conditions; b) obtaining a history of the plural service in the area Waiting for the data and the complex waiting factor; c) calculating the complex prediction waiting time value of the complex service at different time points according to the historical waiting data and the complex waiting factor; d) moving from the location of the mobile device to each service location And a complex moving time value required to move from the location of each service to another location of the service; e) determining the recommended order of use based on the scheduling condition, the complex moving time value, and the complex predicted waiting time value; ) Output the suggested order of use.

The proposed use sequence of the automatic planning of the invention can effectively save the user's waiting time and moving time, and the user can use the plural service efficiently.

1, 3‧‧‧ mobile devices

10, 30‧ ‧ processing unit

12, 32‧‧‧ human machine interface

14, 34‧‧‧ Positioning unit

16, 36‧‧‧Network Unit

18, 38‧‧‧ memory unit

180, 380‧‧‧ application

20, 40‧‧‧ network

22, 420‧‧‧ server

42‧‧‧Computation Cluster

44‧‧‧Database

900-906‧‧‧current waiting time

910-916‧‧‧ Waiting status

920-926‧‧‧ Opening hours

930-935‧‧‧ update time

940-946‧‧‧Service Name

1002‧‧‧Introduction

1004‧‧‧Photos

1100‧‧‧Regional map

1102‧‧‧ navigation path

1104‧‧‧Mobile device location

1106‧‧‧Service location

S100-S110‧‧‧First use sequence planning steps

S200-S244‧‧‧Second use sequence planning steps

S30-S38‧‧‧ update steps

S400-S416‧‧‧Service Information Acquisition Procedure

S500-S504‧‧‧ event notification steps

S600-S620‧‧‧ Third use sequence planning steps

FIG. 1A is a structural diagram of a mobile device and a server according to a first embodiment of the present invention.

FIG. 1B is a structural diagram of a mobile device and a server according to a second embodiment of the present invention.

2 is a flow chart of a method for planning a service usage sequence according to a first embodiment of the present invention.

3A is a flow chart of a first part of a method for planning a service usage sequence according to a second embodiment of the present invention.

FIG. 3B is a second part of a flowchart of a method for planning a service usage sequence according to a second embodiment of the present invention.

4 is a partial flow chart of a method for planning a service usage sequence according to a third embodiment of the present invention.

FIG. 5 is a partial flowchart of a method for planning a service usage sequence according to a fourth embodiment of the present invention.

Figure 6 is a schematic diagram of setting a travel date of the present invention.

Figure 7 is a schematic illustration of a selection service of the present invention.

Figure 8 is a schematic illustration of the suggested sequence of use of the present invention.

Figure 9 is a schematic diagram of the current latency value and service status of the service of the present invention.

FIG. 10 is a schematic diagram showing the introduction information of the service of the present invention.

Figure 11 is a schematic view of navigation of the present invention.

FIG. 12 is a partial flowchart of a method for planning a service usage sequence according to a fifth embodiment of the present invention.

FIG. 13 is a flowchart of a method for planning a service usage sequence according to a sixth embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION A preferred embodiment of the present invention will be described in detail with reference to the drawings.

Please refer to FIG. 1A , which is a structural diagram of a mobile device and a server according to a first embodiment of the present invention. The present invention discloses a planning method for service usage order, which is applied to the mobile device 1 shown in FIG. 1A, and can strategically plan the recommended use order of the plurality of services in the region. Also, when the user uses the plural service in the order in which they are scheduled to use, the least time spent waiting in line and moving will be minimal.

For example, if the aforementioned area is an amusement park, the plurality of services may be amusement facilities, restaurants, and exhibitions, and the present invention can plan the most time-saving use order of the amusement facilities, restaurants, and exhibitions. If the foregoing area is a health inspection center, the plurality of services may be different inspection items, and the present invention may plan the most time-saving inspection sequence of the plurality of inspection items.

For convenience of description, in the following description, the order of use of the plurality of facilities for planning the amusement park will be described as an example, but the use of the present invention should not be limited thereto. Those skilled in the art to which the present invention pertains may apply the planning method of the service use order of the present invention to other different types of service usage order planning (such as the inspection order of the plurality of inspection items of the health inspection center).

As shown in FIG. 1A, the mobile device 1 mainly includes a human machine interface 12, a positioning unit 14, a network unit 16, a memory unit 18, and a processing unit 10 electrically connected to the foregoing components.

The human interface 12 (such as a screen, a button, a speaker, a touch screen, or any combination of the foregoing) is used to accept user operations and play information. Positioning unit 14, such as a satellite positioning device (such as a device using Global Positioning System (GPS) technology, Beidou Satellite Positioning (BDS) technology or other satellite positioning technology) or a regional positioning device (such as a device using beacon positioning technology) ) for obtaining the current location of the mobile device 1. The network unit 16 is used to connect to the network 20 (such as the Internet), and can be connected to the server 22 via the network 20 for data transmission. The memory unit 18 is used to store data. The processing unit 10 is used to control the operation of each component of the mobile device 1.

Please refer to FIG. 1B , which is a structural diagram of a mobile device and a server according to a second embodiment of the present invention. The mobile device 3, the processing unit 30, the human machine interface 32, the positioning unit 34, the network unit 36, the memory unit 38, the network 40, and the server 420 shown in FIG. 1B are connected to the mobile device 1 shown in FIG. 1A. The unit 10, the human interface 12, the positioning unit 14, the network unit 16, the memory unit 18, the network 20, and the server 22 are the same or similar, and are not described herein again.

Unlike the first embodiment, in the present embodiment, network unit 36 is coupled to computing cluster 42 via network 40 for data transfer. In particular, the computing cluster 42 includes a complex server 420 that can provide cloud-decentralized computing, high availability, or load balancing based on a clustering architecture. Preferably, the operation cluster 42 may, after receiving the operation request from the mobile device 3 (such as the scheduling condition described later), allocate the operation request to one or more servers 420 for processing, and process the processed information (as described later). The suggested order of use is passed back to the mobile device 3 to complete the cloud computing.

It is worth mentioning that, due to the cluster architecture, the administrator can easily increase or decrease the number of servers 420 in the computing cluster 42 according to the cost and computing resource requirements, thereby effectively controlling the system construction cost according to requirements or Provides an instant cloud computing experience.

The database 44 is connected to the computation cluster 42 and stores historical wait data, region maps, and the latest wait factors, and can be used to store the recommended order of use determined by the computation cluster 42.

Next, a planning method of the service use order of each embodiment of the present invention will be described. It should be noted that the planning method of the service usage sequence of the embodiments of the present invention can be implemented by using the mobile device 1 and the server 22 shown in FIG. 1A, and the mobile device 3 and the computing cluster shown in FIG. 1B can also be used. 42 and database 44 are implemented. Further, the memory unit 18 stores the application 180, and the memory unit 38 stores the application 380. Both applications 180, 380 include computer executable code. After the processing unit 10 executes the application 180, the mobile device 1 can be controlled to interact with the server 22 to perform the steps of the planning method of the service usage sequence of the embodiments of the present invention, or, after the processing unit 30 executes the application 380, The steps of the planning method of the service usage sequence of the embodiments of the present invention can be controlled by the mobile device 3 being controlled to interact with the computing cluster 42. For convenience of description, a planning method for the service use sequence of each embodiment of the present invention will be described later by taking FIG. 1A as an example.

Continuing to refer to FIG. 2, a flowchart of a method for planning a service usage sequence according to a first embodiment of the present invention is shown. The planning method of the service use order of this embodiment includes the following steps.

Step S100: The processing unit 10 of the mobile device 3 acquires the scheduling condition. Specifically, the processing unit 10 accepts a user operation via the human machine interface 12, and then sets scheduling conditions according to user operations. Preferably, the foregoing scheduling conditions include the area to be planned, the service to be used, the number of people using the service, and/or the date of use of the service, but should not be limited thereto.

Step S102: The processing unit 10 acquires the historical waiting data of the complex service in the area and the complex waiting factor. Specifically, the processing unit 10 selects a specific area according to the scheduling condition, and obtains historical waiting information and plural waits of the plurality of services located in the selected area from the remote server 22 via the network unit 16 and the network 20. factor.

Preferably, the foregoing history waiting data may include a historical waiting time value of each of the selected regions serving different time points in the past (for example, each day in the past year), or a statistical result of the foregoing complex historical waiting time value.

Also, the aforementioned complex wait factor is a factor that may affect the latency of the complex service in the aforementioned region. For example, for a plurality of amusement facilities using an amusement park for a specific travel date, the plural waiting factor may include the number of visitors entering the amusement park on the day (for example, the more the number of tourists, the longer the waiting time), the weather status of the day, and the current day. The state of the prosperous day (for example, the number of tourists on consecutive holidays is larger than that on the average holiday, the number of tourists on the general holiday is more than the number of tourists on weekdays), special activity factors (for example, amusement park promotions or limited activities) Will increase the number of tourists; when the tourists have purchased the fast customs clearance, the waiting time for the rides that can use the fast customs clearance can be greatly reduced), and the single use time value of each service (such as the time required for each ride to run a single operation) ), the number of single-users of each service (such as the number of passengers that can be carried in a single operation of each amusement facility) and the service status of each service (such as the opening and closing status of each amusement facility at different points in the day), but should not This is limited.

Although in the present embodiment, the processing unit 10 obtains historical waiting data from the server 22, it should not be limited thereto. In another embodiment of the present invention, the foregoing history waiting data is stored in the memory unit 18 and periodically updated, so that the processing unit 10 can directly read the history waiting data from the memory unit 18 without connecting to the network.

Step S104: The processing unit 10 calculates, according to the obtained historical waiting data and the complex waiting factor, the complex prediction waiting time value of the plurality of selected regions served at different time points in the future. Preferably, the processing unit 10 uses a statistical method to predict the complex prediction latency values of the plurality of future time points in the future based on the complex historical latency values in the historical waiting data and the complex waiting factors.

Step S106: The processing unit 10 obtains a complex moving time value. Specifically, the processing unit 10 obtains the current location of the mobile device 1 via the positioning unit 14, and then takes it from the memory unit 18 or the server 22. Get the location of all services. Next, the processing unit 10 calculates an estimated moving time value required to move from the position of the mobile device 1 to the position of each service, and calculates an estimated moving time value required to move from the position of each service to the position of another service. .

Step S108: The processing unit 10 determines one or more suggested use orders of the plurality of services of the area according to the scheduling condition, the complex moving time value, and the complex predicted waiting time value.

Preferably, when the user sequentially uses the plural service according to any of the determined suggested use orders, the derived moving time value and the waiting time value can be greatly reduced.

Step S110: The processing unit 10 outputs the determined recommended use order via the human machine interface 12 for reference by the user.

The proposed use sequence of the automatic planning of the invention can effectively save the user's waiting time and moving time, and the user can use the plural service efficiently.

Continuing to refer to FIG. 3A, FIG. 3B, FIG. 6, FIG. 7, and FIG. 8, FIG. 3A is a first part flowchart of a method for planning a service usage sequence according to a second embodiment of the present invention, and FIG. 3B is a second embodiment of the present invention. FIG. 6 is a schematic diagram of setting a travel date according to the present invention, FIG. 7 is a schematic diagram of a selection service according to the present invention, and FIG. 8 is a schematic diagram of a recommended use sequence of the present invention.

The planning method of the service use order of this embodiment may determine a set of optimal recommended use order, and when the user sequentially uses the plural service according to the best use order, the derived moving time value and the waiting time value are added together. It will be the smallest, or the number of services that the user can use for a limited time will be the most. The planning method of the service use order of this embodiment includes the following steps.

Step S200: The processing unit 10 of the mobile device 1 accepts the scheduling condition setting operation of the user via the human machine interface 12.

Preferably, the accepted scheduling condition setting operation may include an operation of selecting a date, and the processing unit 10 sets the travel date of the scheduling condition to the selected one or more dates according to the scheduling condition setting operation, and passes through the human machine. Interface 12 is displayed (as shown in Figure 6).

Preferably, the scheduling condition setting operation setting may further include an operation of selecting a number of people, and the processing unit 10 sets the number of members of the scheduling condition to the selected number of persons according to the scheduling condition setting operation, and displays it via the human machine interface 12.

Step S202: The processing unit 10 determines to perform a one-day travel plan or a multi-day travel plan according to the number of days of the travel date of the scheduling condition.

If the processing unit 10 determines that the user selects only a single travel date, step S204 is performed to perform a one-day travel plan. If the processing unit 10 determines that the user selects a plurality of travel dates, step S208 is performed to perform multi-day travel planning.

Step S204: The processing unit 10 displays the information of all the areas via the human machine interface 12, and accepts the area specifying operation of one of the specified plural areas via the human machine interface 12.

Step S206: The processing unit 10 displays the information of all the services of the designated area via the human machine interface 12, and accepts the service designation operation of the designated part service via the human machine interface 12 (as shown in FIG. 7 to select the service in the park B). A. Service B, Service E, and Service G are examples) to complete the service to be used for setting the travel date, and store the set result as a schedule condition. Next, step S212 is performed.

If the processing unit 10 determines in step S202 that the user selects a plurality of travel dates, step S208 is executed: the processing unit 10 accepts an area designation operation specifying the travel dates of the respective areas via the human machine interface 12.

For example, as shown in FIG. 6, if the plurality of areas are Park A and Park B, the travel dates are: 2016-07-19, 2016-07-20, and 2016-07-21. Then, the mobile device 1 can specify the tour dates of the park A as 2016-07-19 and 2016-07-20 according to the area designation operation, and specify the tour date of the park B as 2016-07-21.

Step S210: The processing unit 10 assigns all or part of the services of each area to the designated travel date. Preferably, the processing unit 10 automatically selects all or part of the service according to the number of days of the travel date of each area and the popularity of each service, and assigns the selected plural service to the designated travel date to complete setting the travel dates. The service to be used, and the set result is stored as a schedule condition.

For example, when the number of days of the travel date in this area is long (eg, 3 days), the processing unit 10 may select all or most of the services of the area; when the travel date of the area is short (eg, 1 day) At that time, processing unit 10 may select only the hot services for this area.

Although in the present embodiment, the mobile device 1 automatically assigns the services of the respective regions to the designated travel dates, it should not be limited thereto. In another embodiment of the present invention, the mobile device 1 assigns the services of the respective regions to the designated travel date (as shown in FIG. 7) in accordance with the service designation operation input by the user.

Step S212: The processing unit 10 determines whether the sequence planning operation is accepted via the human machine interface 12. Specifically, after the user completes the service to be used for each travel date, the user can then enter the sequential planning operation via the human interface 12 to view the suggested use order of the plurality of services. Preferably, when performing the multi-day travel planning, the foregoing sequential planning operation may further include selecting an operation that has been set to complete one of the plurality of travel dates for which the service to be used (ie, step S206 or step S210 has been performed) (eg, selecting FIG. 6 One of the plural travel dates shown).

If the processing unit 10 determines that the sequence planning operation has been accepted, step S214 is performed. Otherwise, the processing unit 10 performs step S212 again.

Step S214: The processing unit 10 obtains the historical waiting data and the complex waiting factor of the corresponding complex service according to the selected travel date.

Preferably, the processing unit 10 only retrieves historical data for a portion of the services in the area (i.e., the plurality of services designated for use on the travel date). In this way, the amount of data read or downloaded can be effectively reduced, thereby increasing the speed of data acquisition.

Step S216: The processing unit 10 establishes a predicted waiting time data model according to the obtained history waiting data, the complex waiting factor, and the number of members of the scheduling condition. The foregoing predicted waiting time data model can predict the predicted waiting time value of each service in each region at different time points in the future according to the input data.

It is worth mentioning that the data model is a data processing tool that converts input data into a predefined data structure and performs operations on the converted data (such as statistical operations, assembly operations, or prediction operations) to obtain specific output data. And solve specific problems. The detailed operation mode of the various data models is the prior art in the technical field to which the present invention pertains, and the operating procedures of the data model are known to those skilled in the art to which the present invention belongs, and will not be described herein.

Step S218: The processing unit 10 uses the predicted latency data model to calculate a plurality of complex prediction latency values serving different time points.

Step S220: The processing unit 10 acquires the location of the mobile device 1 via the positioning unit 14, and acquires the location of each designated service and the regional map of the designated service area from the server 22 via the network unit 16.

Step S222: The processing unit 10 calculates a plurality of shortest moving paths that are moved from the position of the mobile device 1 to the positions of the respective services according to the area map, and calculates a plurality of shortest moving paths that are moved from the positions of the respective services to the positions of the other services.

Step S224: The processing unit 10 calculates a corresponding moving time value according to the calculated path length of each shortest moving path.

Step S226: The processing unit 10 determines the complex candidate order according to the scheduling condition. Specifically, the processing unit 10 plans a plurality of usage order of the specified plural services according to the plurality of services stored in the scheduling condition and used for the travel date, and serves as a candidate order.

It is worth mentioning that the foregoing planning candidate order regards each service as a node, and plans a route that passes through each node one time, and the starting point and the ending point of the foregoing route are different. Preferably, the present invention may implement a plan candidate order using a correlation algorithm such as a Hamilton Path or a Travelling Salesman Problem.

Step S228: The processing unit 10 selects one of the plural candidate orders.

Step S230: The processing unit 10 obtains the complex moving time value and the complex predicted waiting time value of the complex service according to the selected candidate order. Preferably, the processing unit 10 obtains a complex moving time value required to sequentially move to the complex service according to the selected candidate order, according to the specified time of the scheduled departure, the single-use time value of each service, the candidate order, and the complex number movement. The time value calculates the arrival time of each service and obtains the predicted waiting time value required for each service at this arrival time.

For example, if the candidate order is: current position → roller coaster → pirate ship. The mobile device 1 calculates the user's arrival time for the roller coaster at 10:08 am according to the specified time (10:00 am) and the moving time value from the current position to the roller coaster (for example, 8 minutes). The predicted waiting time value of the speeding car at 10:08 am (taking 30 minutes as an example).

Next, the mobile device 1 calculates the use time of the roller coaster according to the predicted predicted waiting time value (ie, the time when the use of the roller coaster service is expected to start) is 10:38 am, according to the single use time value of the roller coaster (in 3 minutes as an example) The calculation of the use time of the roller coaster is 10:41 am. According to the time of use of the roller coaster and the moving time of the pirate ship from the position of the roller coaster (in 3 minutes), the time for the user to arrive at the pirate ship is calculated as the morning. 10:44, obtain the predicted waiting time value predicted by the pirate ship at 10:44 am (in 20 minutes as an example), based on the predicted waiting time The value of the pirate ship is used at 11:04 am, and the pirate ship's use time is calculated as 11:09 am based on the pirate ship's single-use time value (in 5 minutes).

The invention can effectively improve the prediction accuracy by calculating the arrival time and obtaining the predicted waiting time value corresponding to the arrival time.

Step S232: The processing unit 10 sums up the obtained complex moving time value and the complex predicted waiting time value to obtain a total wasted time value corresponding to the candidate order.

For example, the mobile device 1 may add the moving time value from the current position to the roller coaster, the moving time value from the position of the roller coaster to the pirate ship, the predicted waiting time value of the roller coaster at the arrival time, and the arrival time of the pirate ship at the arrival time. The predicted latency value is calculated to calculate the total wasted time value for this candidate order of 61 minutes.

Step S234: The processing unit 10 determines whether the total wasted time values of all candidate sequences are all calculated.

If the total wasted time value for any of the candidate orders is not calculated, the processing unit 10 performs step S226 again to calculate the total wasted time value for this candidate order. If the total wasted time values of all candidate sequences are all calculated, the processing unit 10 performs step S236.

Step S236: The processing unit 10 selects the candidate order with the smallest total wasted time value as the best recommended use order.

It is worth mentioning that when the user specifies too many service items, or the prediction waiting time of each service is too long, the total wasted time value of all candidate sequences exceeds the time specified by the user (such as one or two days). When processing unit 10 can calculate the total number of items used for each candidate in the time specified by the user, and use the candidate order with the largest total number of items as the best recommended order of use.

Step S238: The processing unit 10 displays the optimal recommended use order via the human machine interface (the recommended use sequence as shown in FIG. 8: Service B→Service E→Service G→Service A).

The present invention can effectively save the user's waiting time and moving time by providing a recommended order of use with a minimum total wasted time value.

The present invention allows the user to use the most varied services for a limited time by providing a suggested order of use with the largest total number of uses.

The present invention further provides a mobile route planning function that provides a user suggested moving route based on the calculated optimal recommended use order. The foregoing mobile route planning function is mainly implemented by steps S240-S242.

Step S240: The processing unit 10 calculates the recommended moving route from the position of the mobile device to the position of each service in sequence according to the optimal recommended use order and the complex shortest moving path corresponding to the recommended use order.

Step S242: The processing unit 10 simultaneously displays the area map and the suggested moving route on the human machine interface 12. Specifically, the processing unit 10 uses the layer mode to simultaneously display the area map and the suggested moving route to present a visual effect directly marking the suggested moving route as on the area map.

The present invention further provides an arrival time and a use time display function, and can provide predicted arrival time and use time of each service. The aforementioned arrival time and use time display functions are mainly implemented by step S244.

Step 8244: The processing unit 10 obtains and displays the arrival time and the use time of each service when the best recommended use order is used in the human machine interface 12. Specifically, the arrival time and the use time are calculated in step S230, and the processing unit 10 reads the arrival time and the use time of the candidate order corresponding to the recommended use order, and displays it on the human-machine interface 12 (as shown in FIG. 8). Show arrival time and play time).

By providing the arrival time and the use time of each service, the present invention allows the user to more accurately grasp the time of using each service.

Continuing to refer to FIG. 4, it is a partial flowchart of a method for planning a service usage sequence according to a third embodiment of the present invention. Compared with the first embodiment shown in FIG. 2 and the second embodiment shown in FIG. 3A and FIG. 3B, the planning method of the service use sequence of the present embodiment further includes steps S30-S38 for implementing the automatic update function. Preferably, after performing step S110 or step S244, the processing unit 10 may continue to perform steps S30-S38.

Step S30: The processing unit 10 determines whether the preset update condition is satisfied. Preferably, the foregoing update condition may be whether the update time value passes (ie, periodically updates), whether the location of the mobile device 1 is the same as the location of any service (ie, when the user detects that the service arrives at any service) or multiple waits. Whether one of the factors changes (as the number of visitors changes significantly or when the weather conditions change), but should not be limited.

If the processing unit 10 determines that the update condition is satisfied, step S32 is performed. Otherwise, step S30 is performed again.

Step S32: The processing unit 10 obtains the update data from the server 22 and updates the complex wait factor using the update data.

Step S34: The processing unit 10 recalculates the complex prediction waiting time value of the complex service according to the historical waiting data and the updated complex waiting factor. Specifically, step S34 is to perform an operation similar to steps S216 to S218 to recalculate the complex prediction waiting time value, and details are not described herein again.

Step S36: The processing unit 10 re-determines the recommended use order according to the scheduling condition, the complex moving time value, and the recalculated complex predicted waiting time value. Specifically, step S36 is to perform an operation similar to steps S220 to S236 to re-determine the recommended use order, and details are not described herein again.

It is worth mentioning that the processing unit 10 can also automatically determine which services the user has used (such as when the staying time of any service location exceeds a preset time value (such as 15 minutes) or greater than the predicted waiting time value of the service. That is, the user is determined to have used the service, or the user can use one service per use. The confirmation operation is entered after the transaction, and in step S36, the processing unit 10 first excludes the service that the user has used, and then re-determines the recommended use order according to the remaining plural services.

For example, if the user specifies the four services of roller coaster, pirate ship, coffee cup and haunted house. The mobile device 1 first plans the recommended order of use of the aforementioned four services, such as the roller coaster → pirate ship → coffee cup → haunted house. When updating, the mobile device 1 will first exclude the used service (for example, the roller coaster), and then re-plan the recommended order of the remaining three services according to the updated data, such as Haunted House→Pirate Ship→Coffee Cup.

The present invention allows the user to more intuitively use the service in accordance with the updated recommended use order by updating the used service upon update, without additionally determining which services are not in use.

Step S38: The processing unit 10 outputs the re-determined suggested use sequence via the human machine interface 12.

By providing an automatic update function, the present invention can effectively reflect the change of the waiting time of each service, and immediately correct the recommended use order, so that the user can use the plural service more efficiently.

Continuing with FIG. 5 and FIG. 9 to FIG. 11 , FIG. 5 is a partial flowchart of a method for planning a service usage sequence according to a fourth embodiment of the present invention, and FIG. 9 is a current waiting time value and a service state of the service according to the present invention. FIG. 10 is a schematic diagram of an introduction information of a service according to the present invention, and FIG. 11 is a schematic diagram of navigation of the present invention.

Compared with the first embodiment shown in FIG. 2 and the second embodiment shown in FIG. 3A and FIG. 3B, the planning method of the service use sequence of the embodiment further includes steps S400-S402 for implementing the display service status function. Steps S404-S408 for implementing the display service information function and steps S410-S416 for implementing the navigation function. Preferably, the processing unit 10 continues to perform steps S400-S416 after performing step S110 or step S244.

Step S400: The processing unit 10 displays a plurality of areas on the human machine interface 12, accepts a user's area selection operation via the human machine interface 12, and selects one of the plurality of areas according to the area selection operation.

Step S402: The processing unit 10 obtains the current waiting time value and the service status of all the services of the selected area, and displays them on the human machine interface 12.

For example, as shown in FIG. 9, after the user selects an area (taking the park A as an example), the mobile device 1 can display the service name 940-946 of each service of the park A (the service name is service A, service B, Service C and Service D are examples), current waiting time values 900-906, and service status 910-918. Moreover, the mobile device 1 can further display the opening hours 920-926 of the services and the update timings 930-936 of the aforementioned information to provide a user reference.

Next, the display service information function of the present invention will be described.

Step S404: The user can input a service selection operation when browsing the service of any area (such as the plural service shown in step S402) to select one of the plurality of services and view the detailed information of the service.

Step S406: The processing unit 10 selects one of the plural services of the area according to the service selection operation.

Step S408: The processing unit 10 obtains the introduction information of the selected service and the current waiting time value from the server 22 via the network unit 16.

For example, as shown in FIG. 10, if the user selects a service (taking the service B as an example), the mobile device 1 displays the name 942 of the service, the current waiting time value 902, the service status 912, the open time 922, and In addition to the update time 932 of the foregoing information, the photo 1000 and the introduction information 1002 of the service may be further displayed.

Next, the navigation function of the present invention will be described.

Step S410: The processing unit 10 accepts the navigation operation via the human machine interface 12.

For example, as shown in FIG. 10, the mobile device 1 can further display the navigation button 1004. When the user wants to navigate from the current location to the location of the service, the navigation button 1004 can be clicked to enter the navigation operation.

Step S412: The processing unit 10 obtains the location of the mobile device 1, the location of the service, and the regional map of the region.

Step S414: The processing unit 10 calculates a navigation path from the location of the mobile device 1 to the location of the service according to the regional map.

Step S416: The processing unit 10 simultaneously displays the area map and the navigation path on the human machine interface 12.

For example, as shown in FIG. 11, the mobile device 1 can use the layer mode to simultaneously display the regional map 1100 and the navigation path 1102 to present a visual effect that directly marks the navigation path 1102 as on the regional map 1100. Moreover, the mobile device 1 can also simultaneously display the location 1104 of the mobile device 1 and the location 1106 of the service.

The invention can display the area map and the navigation path at the same time, so that the user can more easily understand how to quickly go to the location of the selected service, and effectively save the moving time.

Continuing to refer to FIG. 12 is a partial flowchart of a method for planning a service usage sequence according to a fifth embodiment of the present invention. Compared with the first embodiment shown in FIG. 2 and the second embodiment shown in FIG. 3A and FIG. 3B, the planning method of the service use sequence of the embodiment further includes steps S500-S504 for implementing the automatic service event notification function. . Preferably, after performing step S110 or step S244, the processing unit 10 may continue to perform steps S500-S504.

Step S500: The mobile device 1 or the server 22 determines whether an event is detected.

If the mobile device 1 or the server 22 detects any event, step S502 is performed. Otherwise, step S504 is performed.

Step S502: The mobile device 1 or the server 22 issues an event notification.

Preferably, the foregoing events may include service events and timed events. For example, in the case of a service event (such as rain, earthquake, strong wind, equipment failure, or other event that may affect the service opening and closing status), the server 22 continuously detects whether a service event is received (such as an administrator inputting a service event), and When a service event is received, an event notification of a service event is sent to the mobile device 1 via the network 20. Next, the mobile device 1 plays an event notification of the received service event via the human machine interface 12.

For example, in the case of a timed event (such as a parade, a performance event, a meal time, or other events), the user can operate the mobile device 1 in advance to set the notification time of the timed event. Next, the mobile device 1 issues an event notification of the timed event via the human machine interface 12 when the notification time of any of the timed events coincides with the current time.

Step S504: The mobile device 1 determines whether to end the sequence planning service.

If the mobile device 1 determines to end the sequence planning service, the planning method of the service use sequence of the present embodiment is ended. Otherwise, step S500 is performed again.

It is to be noted that, in the foregoing description, the planning method for the service use order of the embodiments of the present invention is described by taking FIG. 1A as an example, but is not limited thereto. The planning method of the service use order of the embodiments of the present invention can be implemented by the mobile device 3 and the computing cluster 42 shown in FIG. 1B.

Specifically, in the planning method of the service use sequence of the first embodiment shown in FIG. 2, the mobile device 3 can accept the operation, set the scheduling condition, and transmit the scheduling condition to the complex server of the computing cluster 42 via the network 40. One of 420 (step S100). Next, the server 420 may perform steps S102-S108 to determine the recommended use order, and return the determined recommended use order to the mobile device 30 via the network 40 (step S110).

In the planning method of the service use sequence of the second embodiment shown in FIG. 3, the mobile device 3 performs steps S200-S212 and transmits the designated area, service, travel date or scheduling condition to the server 420 via the network 40. The server 420 performs steps S214-S236 to determine the optimal recommended use order and transmits the optimal recommended use sequence to the mobile device 3 display via the network 40 (step S238). And servo The controller 420 calculates the recommended moving route (step S242), and transmits the area map and the recommended moving route to the mobile device 3 display (step S238). Then, the server 420 calculates the arrival time and the use time of each service, and transmits it to the mobile device 3 for display (step S244).

In the planning method of the service use sequence of the third embodiment shown in FIG. 4, the server 420 performs steps S30-S36 to re-determine the recommended use order when the update condition is satisfied. And, the server 420 transmits the re-determined recommended use sequence to the mobile device 3 (step S38).

In the planning method of the service use sequence of the third embodiment shown in FIG. 5, the mobile device 3 accepts the area selection operation (step S400) and transmits the selected area to the server 420, and the server 420 returns each of the selected areas. The current waiting time value of the service and the service status are displayed to the mobile device (step S402). Next, the mobile device 3 accepts a service selection operation to select one of the plurality of services (steps S404-S406) and transmits the selected service to the server 420, and the server 420 returns the introduction information of the selected service to the mobile device 3 for display (step S408). Finally, the mobile device 3 accepts the navigation operation and transmits the location of the mobile device 3 to the server 420. The server 420 calculates the navigation path according to the location of the mobile device 3, the location of the service, and the regional map stored in the database 44 (step S412). -S414), and returning the navigation path and the area map to the mobile device 3 display (step S416).

Continuing to refer to FIG. 1B and FIG. 13, FIG. 13 is a flowchart of a method for planning a service usage sequence according to a sixth embodiment of the present invention. Hereinafter, a planning method for explaining the service use order of the present embodiment will be described using FIG. 1B as an example. The planning method of the service usage sequence in this embodiment mainly includes the following steps:

Step S600: The mobile device 3 accepts the user's operation and sets the scheduling conditions according to the user's operation (such as the area to be planned, the service to be used, the number of people using the service, and/or the date of using the service).

Step S602: The mobile device 3 acquires the current location.

Step S604: The mobile device 3 transmits the scheduling condition and the current position to one of the plurality of servers 420 of the computing cluster 42.

Preferably, the computing cluster 42 has a load balancing function. When the computing cluster 42 receives the scheduling condition and the current location from the mobile device 3, the scheduling condition and the current location are assigned to the most appropriate server 420 (eg, current connection) The server 420) with the fewest lines or the most processing resources currently processing is processed.

In another embodiment, the computing cluster 42 has a distributed computing function. The computation cluster 42 can simultaneously allocate scheduling conditions and current locations to the complex server 420 for collaborative processing to increase processing speed by decentralized operations.

Step S606: The server 420 obtains the history waiting data and the complex waiting factor from the database 44.

Step S608: The server 420 calculates, according to the obtained historical waiting data and the complex waiting factor, the complex prediction waiting time value of the plurality of selected time points serving at different time points in the future.

Step S610: The server 420 obtains a complex moving time value.

Step S612: The server 420 determines the plural recommended use order of the complex services in the area according to the scheduling condition, the complex moving time value, and the complex predicted waiting time value.

Step S614: The server 420 selects a part of the recommended use order according to a preset sorting condition (such as a minimum total waste time value, a maximum total number of used items, or a short total moving distance).

Preferably, the server 420 selects the order of use according to the sorting condition (such as the minimum total waste time value), and selects the recommended order of the specific number of pens (such as 5 pens) from the top of the sorting (ie, selects the total waste). The first five recommended time sequences with the lowest time value).

Step S616: The server 420 transmits the selected plural recommended use sequence to the mobile device 3.

Step S618: The mobile device 3 receives the plural recommended use order, and sorts the received plural recommended use order according to the sorting condition.

Step S620: The mobile device 3 displays the sorted plural recommended use order.

The present invention is responsible for calculating the recommended order of use via the use of the computation cluster 42 and can effectively reduce the computational requirements for the mobile device 3, while allowing more low-order mobile devices 3 to be applicable to the present invention.

The above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Therefore, equivalent changes to the scope of the present invention are included in the scope of the present invention. Bright.

S100-S110‧‧‧First use sequence planning steps

Claims (20)

A service usage order planning method for determining a sequence of use of a plurality of services of a region, the service using a sequential planning method for a mobile device, comprising: a) obtaining a scheduling condition; b) obtaining the region a historical waiting data of the plural service and a complex waiting factor; c) calculating a complex prediction waiting time value of the complex service at different time points according to the historical waiting data and the complex waiting factor; d) obtaining a positional movement from the mobile device a plurality of moving time values required to move to a location of each service and a location from each of the services to another location of the service; e) determining the basis based on the scheduling condition, the complex moving time value, and the complex predicted waiting time value Use order; and f) output the order of use. The planning method of the service use sequence described in claim 1, further comprising the steps of: g1) updating the complex waiting factor when determining that an update condition is satisfied; g2) waiting for the data according to the history and the updated plural number The factor recalculates the complex prediction latency value; and g3) re-determines and outputs the usage sequence based on the scheduling condition, the complex moving time value, and the recalculated complex predictive latency value. The method for planning the service usage sequence according to claim 2, wherein the step g1 is that the timing of the update time value passes, the location of the mobile device is determined to match the location of any of the services, or the complex wait factor is detected. When a change is made, it is determined that the update condition is satisfied. The method for planning the order of use of the service as described in claim 1, wherein the planning method of using the order of the service is further used to determine the order of use of the plurality of services of the plurality of areas; and further comprising the steps of: h1) according to an area The selection operation selects one of the plurality of areas; and h2) obtains and displays a current waiting time value and a service status of each of the services of the selected area. The method for planning the order of use of the service as described in claim 1, further comprising the steps of: i1) selecting one of the plurality of services of the area according to a service designation operation; i2) obtaining and displaying an introduction of the selected service. Information; i3) obtaining a location of the mobile device, a location of the service, and an area map of the area when accepting a navigation operation; and i4) simultaneously displaying the area map and navigating from the location of the mobile device to the A navigation path for the location of the service. The planning method of the service use order according to claim 1, further comprising a step of j) calculating and displaying the expected arrival according to the use order, the complex moving time value, the complex predicted waiting time value, and a specified time of the expected departure. The time of arrival of each location of the service and the expected use of each of the services. The planning method of the service use order according to claim 1, wherein the plural waiting factor includes a number of tourists of the area on a travel date, a weather status of the travel date, a peak date of the travel date, and a special An activity factor, a single-use time value of each service, a single-user value of each service, and a service status of each service, each of the service statuses including different time points of the service at the travel date A state of opening and closing. The planning method of the service use order according to claim 1, wherein the planning method of the service use order is further used to determine the use order of the plurality of services of the plurality of areas; the step a includes the following steps: a11) a schedule condition setting operation sets a number of members of the schedule condition and a plurality of travel dates; a12) designating the travel dates of the respective areas according to a designated operation of the area; and a13) assigning the plurality of services in each area to each The date of the tour of the area. The method for planning the service usage sequence according to claim 8, wherein the step b is: when accepting a sequence planning operation, selecting one of the plurality of travel dates, and obtaining the plural service of the region according to the selected travel date. The history waits for the data and the plural waiting factor; the step c is to calculate the complex prediction waiting time value of the plurality of time points serving the travel date according to the historical waiting data, the complex waiting factor and the number of the members. The planning method of the service use order according to claim 1, wherein the planning method of the service use order is further used to determine the use order of the plurality of services of the plurality of areas; the step a includes the following steps: a21) a scheduling condition setting operation sets a number of members of the scheduling condition and a travel date; a22) designating one of the plurality of areas according to a specified operation of the area; and a23) selecting the part of the area specified according to a service designation operation The service. The method for planning the order of use of the service as described in claim 10, wherein the step b is to obtain the historical waiting data of the plural service and the complex waiting factor according to the travel date when accepting a sequential planning operation; the step c is The complex prediction waiting time value of the plurality of service points at different time points of the travel date is calculated according to the historical waiting information, the plural waiting factor, and the number of the members. The planning method of the service use order according to claim 1, wherein the step c comprises the following steps: c1) establishing a predicted waiting time data model according to the historical waiting data and the complex waiting factor, wherein the historical waiting data includes each A statistical result of the complex historical latency value of the service; and c2) using the predicted latency data model to calculate the complex prediction latency value for the complex service at different points in time. The planning method of the service use sequence according to claim 1, wherein the step d comprises the following steps: d1) obtaining the location of the mobile device, the location of each service, and a regional map of the region; d2) according to the region Calculating the position from the mobile device to the location of each service and the plurality of shortest moving paths from the location of each service to another location of the service; and d3) calculating a path length according to each of the shortest moving paths Each of these moving time values. The method for planning the service usage sequence according to claim 13, further comprising the steps of: j1) calculating, according to the order of use and the plurality of shortest moving paths, a position from the position of the mobile device to each of the positions of the service. It is recommended to move the route; and j2) to display the map and the recommended route. The planning method of the service use order according to claim 1, wherein the step e comprises the following steps: e11) determining a complex candidate order according to the scheduling condition; e12) obtaining the complex moving time value corresponding to one of the plurality of candidate orders And the complex prediction waiting time value; E13) summing the obtained complex moving time value and the complex predicted waiting time value to obtain a total waste time value corresponding to the candidate order; e14) repeating the step e2 to the step e3 until all the candidate sequences are The total wasted time value is calculated; and e15) selects the candidate order in which the total wasted time value is the smallest as the order of use. The planning method of the service use order according to claim 1, wherein the step a) comprises: a31) the mobile device accepts a service designation operation of selecting a part of the service of the area, and setting the service according to the selected part of the service a scheduling condition; a32) obtaining a location of the mobile device; and a33) transmitting the scheduling condition via the Internet to a server; the step f) is the server transmitting the usage sequence to the mobile device via the Internet display. The method for planning the order of use of the service as described in claim 16, further comprising a step of k) sending, by the server, an event notification via the Internet to the event when receiving an event regarding any of the selected services The mobile device is displayed. The planning method of the service usage order according to claim 1, wherein the step e) comprises: e21) determining the plural order of use according to the scheduling condition, the complex moving time value, and the complex prediction waiting time value; and e22) A portion of the order of use is selected according to a sorting condition; the step f) is to output the selected plural order of use. The method for planning the order of use of the service as described in claim 18, wherein the step f) comprises: f1) sorting the selected plural order according to the sorting condition; and F2) Display the order of the plurals after sorting. The planning method of the service use order according to claim 19, wherein the sorting condition is that the total wasted time value is the smallest, the total number of used items is the largest, or the total moving distance is the shortest.